Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification

Few-shot text classification aims to classify the text under the few-shot scenario. Most of the previous methods adopt optimization-based meta learning to obtain task distribution. However, due to the neglect of matching between the few amount of samples and complicated models, as well as the distin...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Lei, Tianyi, Hu, Honghui, Luo, Qiaoyang, Peng, Dezhong, Wang, Xu
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Learning Optimization Regularization Similarity Text categorization
Online-Zugang:	Volltext
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